Assignment

Instruction for Submission of Assignments: Assignments
should be submitted directly on Blackboard. In rare situations
assignments can be sent directly by email to the instructor. Submission
should follow these rules:

Submit only one document, usually an Excel file. All
questions should be answered in different sheets. Each sheet
should be labeled with the question number.

All Excel cells, except the cells containing the data, must have
formulas. Do not paste the value into the cell, it must be
calculated using a formula. Even simple steps, such as adding two
numbers, should be done using formulas.

Make sure that any control charts follow the visual rules below:
(1) Control limits must be in red and without markers, (2) Observed
lines must have markers, (3) X and Y axis must be labeled, and (4)
Charts must be linked to the data.

Copy and paste SQL or R code into Excel sheet. Plot data in
Excel.

The first sheet in the file should be a summary page. In the
summary page you should list how your answers to the question differs
from answers provided within the assignment (inside Teach One or other
answers). You must indicate for each question if your control
chart is exactly the same as seen in Teach One or other formats.
For each question, you must indicate if the answers you have provided is
the same as the answers supplied on the web. If there are no
answers provided, you must indicate that there were no answers available
on the web to compare your answers to.

MAC users should first download and install virtualization software (VirtualBox, VMWare Player/Fusion,
Parallels). Get a copy of an operating system from MSDN (i.e. Windows 10),
or Linux (i.e., Ubuntu, or CentOS). Configure a virtual machine and install the guest operating system.
Note: In this course we will be mostly using VirtualBox, but you can use any virtualization solution.

Use your GMU email to register (without Masonlive, i.e. userid@gmu.edu). Do not use your GMU password. Only Microsoft software is available on this site. Software is FREE.
Contact instructor if your password does not work.

Calculate which month is most likely to have a diagnosis reported.
Video►

Question 2: Download the attached
file of ICD9 codes and descriptions and find the seven errors in the data, where the same ICD9 code has been assigned different descriptions.
Data►Video►Kavallor's Teach One►

Question 3: Download data in three/four zipped files. You can
focus on the entire data or focus on the data for patients who have at least 365
days of encounters. For password contact your
instructor. By opening this file you agree not to share the file with
anyone else. Unzip the files twice, first to get to the directory and then
to get to the actual file. Link to the data into Access or read the data
into Microsoft SQL server. We recommend you use SQL server. To
create the database, open SQL server and right click on the database and start a
new database. Right click on the database, select "Tasks," select "Import
Data," select "Flat File Source" as the source of the data, change file type to
"CSV Files," browse to where you unzipped the files, indicate that field names
are in the first row, select as destination "SQL Server Native Client" file type.
Massive Data►>365 Days Data,
Access Code►SQL Code to
Merge Files►Create Database►
Visual Guide to Read SQL►

Remove blanks from numeric data, such as DxAtAge. Convert text data
in the AgeAtDeath to
float. This is typically done through if statements such as these:

IIF(DxAtAge >0, DxAtAge, Null)

IIF(AgeAtDeath="Null", Null, cast(AgeAtDeath AS Float))

Calculate the average age of and the standard deviation of the
diagnosis. Which 10 diagnoses occur first, meaning which diagnosis
occurs at a younger age.
Access Code►SQL Code & Answer►

List the top 20 most frequent diagnoses that co-occur. To complete
this task you would need to join the table to itself. Then, use ICD9
code in one table as the first and the ICD9 code in the second table as the
second of the pair. Count the number that match any pair of diagnoses.
Access Code►SQL Code►

Use STUFF function to concatenate list of unique diagnoses
for the same person. Count numbers of times these lists occur more
than 29 times STUFF
SQL►

Identify individuals whose date of death might be in error and have
visits post date of death. Exclude them. Report the top 10 IDs that remain
in order of IDs.
Access Code►SQL Code►

Rank order diagnosis in order of their reoccurrence for the same person. Rank or Row
Number functions are described on the web. Search for these commands
and look at some examples online. For how many unique persons does the ICD
diagnoses 250.00 repeat twice in the data? Rank
Command►

For example, the following tables shows how the rank
order should work for person with ID 1: